A brief overview of population - based optimization techniques and their applications post 2011

Naturally occurring phenomenon serves as an unbiased guide for solving various optimization problems . This paper compiles some of the population - based, sto chastic optimization algorithms including the recently developed social impact theory based optimizer , SITO . The current state of research , including the natural phenomena followed by each and some of their applications to solve various optimization problems is illustrated . The applications after the year 2011 are covered. The efficiency and robustness of various algorithms explored herein , includes particle swarm optimization (PSO) , harmony search (HS) and social impact theory based optimizer (SITO) .

[1]  Lipu Zhang,et al.  An Elite Decision Making Harmony Search Algorithm for Optimization Problem , 2012, J. Appl. Math..

[2]  Abhishek Toofani,et al.  Solving Routing Problem using Particle Swarm Optimization , 2012 .

[3]  K. Ravindra,et al.  Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation , 2013, IEEE Transactions on Power Systems.

[4]  Ye Er-lan,et al.  The Introduction of Particle Swarm Optimization , 2010 .

[5]  Daniele Peri,et al.  Particle Swarm Optimization: efficient globally convergent modifications , 2006 .

[6]  Lenka Lhotska,et al.  Social Impact and Optimization , 2008 .

[7]  Mohammed Azmi Al-Betar,et al.  Global best Harmony Search with a new pitch adjustment designed for Nurse Rostering , 2013, J. King Saud Univ. Comput. Inf. Sci..

[8]  Haralambos Sarimveis,et al.  Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[9]  Mohammad Yusri Hassan,et al.  Application of particle swarm optimization for solving optimal generation plant location problem , 2012 .

[10]  Y. Pourjamal,et al.  HSA based solution to the UC problem , 2013 .

[11]  Rishemjit Kaur,et al.  Enhancing electronic nose performance: A novel feature selection approach using dynamic social impact theory and moving window time slicing for classification of Kangra orthodox black tea (Camellia sinensis (L.) O. Kuntze) , 2012 .

[12]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[13]  M. Macas,et al.  Linear Bayes classification for mortality prediction , 2012, 2012 Computing in Cardiology.

[14]  Ioannis Kougias,et al.  Application of the Harmony Search optimization algorithm for the solution of the multiple dam system scheduling , 2013 .

[15]  Lenka Lhotská,et al.  Optimizers derived from human opinion formation , 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

[16]  Yuanxin Wu,et al.  Calibration of Three-Axis Magnetometer Using Stretching Particle Swarm Optimization Algorithm , 2013, IEEE Transactions on Instrumentation and Measurement.

[17]  K. M. Gharaibeh,et al.  Target classification in Wireless Sensor Network using Particle Swarm Optimization (PSO) , 2012, 2012 IEEE Sensors Applications Symposium Proceedings.

[18]  Astrophysics,et al.  Cosmological parameter estimation using Particle Swarm Optimization (PSO) , 2011, 1108.5600.

[19]  Nasser R. Sabar,et al.  A harmony search algorithm for nurse rostering problems , 2013, Inf. Sci..

[20]  Sofiene Kachroudi,et al.  Predictive Driving Guidance of Full Electric Vehicles Using Particle Swarm Optimization , 2012, IEEE Transactions on Vehicular Technology.

[21]  Qiang Shen,et al.  Feature Selection With Harmony Search , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[22]  B. Latané.  Dynamic Social Impact: The Creation of Culture by Communication. , 1996 .

[23]  J. Hamidi.  Control System Design Using Particle Swarm Optimization (PSO) , 2012 .

[24]  Uthen Leeton,et al.  Optimal power flow solution using improved harmony search method , 2013, Appl. Soft Comput..

[25]  Mohammad Reza Meybodi,et al.  novel multi-swarm algorithm for optimization in dynamic environments based n particle swarm optimization , 2013 .

[26]  Lenka Lhotská,et al.  Simplified Social Impact Theory Based Optimizer in Feature Subset Selection , 2011, NICSO.

[27]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[28]  Rishemjit Kaur,et al.  A novel approach using Dynamic Social Impact Theory for optimization of impedance-Tongue (iTongue) , 2011 .

[29]  Mehmet Polat Saka,et al.  Optimum design of unbraced steel frames to LRFD-AISC using particle swarm optimization , 2012, Adv. Eng. Softw..

[30]  Javier Del Ser,et al.  One-way urban traffic reconfiguration using a multi-objective harmony search approach , 2013, Expert Syst. Appl..

[31]  Jing Cai,et al.  On fast and accurate block-based motion estimation algorithms using particle swarm optimization , 2012, Inf. Sci..

[32]  John Paul,et al.  Image Compression Using Harmony Search Algorithm , 2012 .

[33]  Xin-She Yang.  Harmony Search as a Metaheuristic Algorithm , 2009 .

[34]  Pedram Ghaderi,et al.  Hybridization of Harmony Search and Ant Colony Optimization for optimal locating of structural dampers , 2013, Appl. Soft Comput..

[35]  Mohammed Azmi Al-Betar,et al.  Edge preserving image enhancement via harmony search algorithm , 2012, 2012 4th Conference on Data Mining and Optimization (DMO).

[36]  Imtiaz Ahmad,et al.  Broadcast scheduling in packet radio networks using Harmony Search algorithm , 2012, Expert Syst. Appl..

[37]  K. S. Swarup,et al.  Network partitioning using harmony search and equivalencing for distributed computing , 2012, J. Parallel Distributed Comput..

[38]  Damian Słota,et al.  Reconstruction of the thermal conductivity coefficient by using the harmony search algorithm , 2011 .

[39]  Hsin-Chuan Kuo,et al.  PARTICLE SWARM OPTIMIZATION FOR GLOBAL OPTIMIZATION PROBLEMS , 2006 .

[40]  Ling Wang,et al.  A coevolutionary differential evolution with harmony search for reliability-redundancy optimization , 2012, Expert Syst. Appl..

[41]  Mekki Ksouri,et al.  Harmony search to solve the container storage problem with different container types , 2013, ArXiv.

[42]  Zhongping Wan,et al.  A hybrid intelligent algorithm by combining particle swarm optimization with chaos searching technique for solving nonlinear bilevel programming problems , 2013, Swarm Evol. Comput..

[43]  Zhi-Hui Zhan,et al.  An Efficient Resource Allocation Scheme Using Particle Swarm Optimization , 2012, IEEE Transactions on Evolutionary Computation.

[44]  Serge Galam,et al.  SOCIOPHYSICS: A REVIEW OF GALAM MODELS , 2008, 0803.1800.

[45]  Rishemjit Kaur,et al.  Binary social impact theory based optimization and its applications in pattern recognition , 2014, Neurocomputing.